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Joint operation of a fast-charging EV hub with a stand-alone independent battery storage system under fairness considerations
In this paper, we study a novel usage of the stand-alone BSS whereby in addition to participating in the electricity reserve market, it allows an EV hub to use a part of its storage capacity, when profitable.
Tacit algorithmic collusion in deep reinforcement learning guided price competition: A study using EV charge pricing game
We evaluate the resulting pricing strategies using an index for the level of tacit algorithmic collusion.
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation
The knowledge gained from our study on the adversary's ability to make specific evasive perturbations to different types of malicious packets can help defenders enhance the robustness of their NIDS against evolving adversarial attacks.
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